Applicability and comparison of surrogate techniques for modeling of selected heating problems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F19%3A43955729" target="_blank" >RIV/49777513:23220/19:43955729 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0898122119300811" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0898122119300811</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.camwa.2019.02.013" target="_blank" >10.1016/j.camwa.2019.02.013</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Applicability and comparison of surrogate techniques for modeling of selected heating problems

Popis výsledku v původním jazyce

Possibilities of using surrogate techniques for modeling selected strongly nonlinear coupled problems of heating are evaluated. The main purpose is to significantly reduce the computing time in the case of computations of many variants of a given task by the finite element method on the condition of obtaining results of a still acceptable accuracy. Frequently used surrogate techniques (based on Kriging, neural network etc.) are tested on a particular problem of induction-assisted laser welding that represents a very complicated 3D problem. Here, the most important output quantities are the internal structure of weld (decisive for its mechanical parameters) and its depth that depend on a number of input parameters (power of laser beam, velocity of shift of the welded parts, overall geometry and material properties etc.) and must be known before the process of welding itself. The paper presents both full model of this process and considered surrogate algorithms, and compares the results obtained. It is shown that a careful selection of the surrogate technique together with suitable choice of its input data is very beneficial and may result in high savings in design of the process. Implementation performance and suitability of particular techniques of this kind are also evaluated.

Název v anglickém jazyce

Applicability and comparison of surrogate techniques for modeling of selected heating problems

Popis výsledku anglicky

Possibilities of using surrogate techniques for modeling selected strongly nonlinear coupled problems of heating are evaluated. The main purpose is to significantly reduce the computing time in the case of computations of many variants of a given task by the finite element method on the condition of obtaining results of a still acceptable accuracy. Frequently used surrogate techniques (based on Kriging, neural network etc.) are tested on a particular problem of induction-assisted laser welding that represents a very complicated 3D problem. Here, the most important output quantities are the internal structure of weld (decisive for its mechanical parameters) and its depth that depend on a number of input parameters (power of laser beam, velocity of shift of the welded parts, overall geometry and material properties etc.) and must be known before the process of welding itself. The paper presents both full model of this process and considered surrogate algorithms, and compares the results obtained. It is shown that a careful selection of the surrogate technique together with suitable choice of its input data is very beneficial and may result in high savings in design of the process. Implementation performance and suitability of particular techniques of this kind are also evaluated.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/LO1607" target="_blank" >LO1607: RICE – Nové technologie a koncepce pro inteligentní průmyslové systémy</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

COMPUTERS &amp; MATHEMATICS WITH APPLICATIONS

ISSN

0898-1221

e-ISSN

—

Svazek periodika

78

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

14

Strana od-do

2897-2910

Kód UT WoS článku

000491624900005

EID výsledku v databázi Scopus

2-s2.0-85062150170